Introduction to Mozilla Science Lab


The Mozilla Science Lab is a new initiative of the Mozilla Foundation (the folks that brought you Firefox), dedicated to helping researchers use the power of the open web to change the way science is done. Mozilla Science Lab activities will focus on a few core areas: code and data literacy, so that researchers have the resources to learn how to operate in a digital, open environment, community building and awareness, to help create a place for others to learn about open science and find out how to get engaged, and tools and code, where collaborators, researchers and developers work with existing projects as well as prototype our own to help make research more efficient.


The objective of the Mozilla Science Lab is to cherish an ongoing dialogue between the open web community and researchers to overcome this challenge. Together researchers and collaborators will share ideas, tools and best practices for using next generation web solutions to solve real problems in science, and explore ways to make research faster, more agile and collaborative.


We have our Mozilla Science Lab Uttar Pradesh Study Group msland our Mozilla Science Lab collaborator Amit Kumar Jaiswal is the primary owner of this Study Group.

Introduction to Mozilla Science Lab

The event Schedule is at Mozilla Reps Portal and event discussion on Etherpad

Code and Data Literacy

Digital literacy is as important as reading, writing and arithmetic. But, we also come with some questions which are :

1. Why Open Science?

Whether you’re studying the human genome, black holes, deep sea ecology, or alternative energy sources, science is a practice and process of learning and creating knowledge. Scientists always build on (or transform) our existing understanding of the world. So when a researcher shares an insight or discovery, makes his/her data available on the web, or makes the details of a new experimental technique or tool public so others can use and reuse it, they empowers fellow researchers and furthers our collective knowledge… knowledge that can be used to solve problems, save lives, and inspire and amaze us all. The more scientific data, knowledge, methods, tools and skills made widely and openly available to all, the better.

In academia, skills training to match the tools and technology is still leagues behind where it should be. We need to find a way to better empower students to be “digital researchers” by shortening the gap and providing the means for them to learn how to share, reuse and reproduce research on the web.

2. What’s the Web (and Mozilla) got to do with it?

The easily accessible, information-rich World Wide Web is home to countless online communities where people from around the world freely and asynchronously share and discuss content and ideas. We can think of the web as an awesome tool for creation and collaboration, a space where people can find each other, communicate, and work together.”Open-source” in this case means the code for Firefox is freely, publicly available and anyone who would like to can contribute to its development. Many of the tools and practices of “working open” were created, tested, and refined by software developers working on open-source projects, and using the web as a collaboration tool.

Discussion on Mozilla Science Lab projects :

During this event, We discussed on various open source ongoing project. Some of the projects listed according to levels are :

Beginner :

  • Zooniverse
  • Mapping Registered Clinical Trials in the US
  • Sun Risks
  • Birding
  • LocusPocus
  • SciAI
  • DIYbiosphere
  • Minimal Computing – Rural applications
  • Open Science 101
  • An R package for processing weather station data for organismal ecologists
  • Open Cosmics
  • CrowdAI-KnowledgeBase
  • Subatomic particle Visualization in Quantum Mechanics
  • githubr
  • pmc-ref
  • fedbk
  • STEMMRoleModels
Intermediate :
  • openSNP
  • everware
  • PhageParser
  • Open Data Training
  • Paper Badger
  • AnnotatorJS 2.0
  • Binder
  • ContentMine
  • Server side image rendering of Cytoscape.js graphs/networks using Node.js and PhantomJS
  • DynaML
  • What can X do to encourage Open Science
  • BEC Climate explorer
  • Science Fair
  • PaperHive
  • Open data per default: building CeTrAn 5.0
  • Extending library carpentary
  • Exploratory Analysis with Pathway Commons, R Cytoscape.js and Shiny
  • rmacroRDM R package
 Advanced :
  • Tool to assess accessibility of a list of references
  • EcoData Retriever
  • SimPEG

During the event, we added a new contributor – Raj Kumar Maurya whose code has been merged in STEMMRoleModels project and some new contributors started working on the Mozilla Science Lab project.


Support and innovate with the community

There are some incredible tools out there pushing the limits to what the future of science on the web can be. We want people(Supporter, Collaborator) to support that work as well as find ways to help coordinate efforts and innovate together.



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